journal article·2023-11

An Ultra‐Thin MXene Film for Multimodal Sensing of Neuroelectrical Signals with Artifacts Removal

Dekui Song, Xueli Li, Myeongjin Jang, Yangjin Lee, Yu Zhai, Wenya Hu, Hongping Yan, Song Zhang, Luyao Chen, Chunming Lu, Kwanpyo Kim, Nan Liu

Advanced Materials· Volume 35· Issue 48
Publisher page

Abstract

Abstract Neuroelectrical signals transmitted onto the skin tend to decay to an extremely weak level, making them highly susceptible to interference from the environment and body movement. Meanwhile, for comprehensively understanding cognitive nerve conduction, multimodal sensing of neural signals, such as magnetic resonance imaging (MRI) and functional near‐infrared spectroscopy (fNIRS), is highly required. Previous metal or polymer conductors cannot either provide a seamless on‐skin feature for accurate sensing of neuroelectrical signals or be compatible with multimodal imaging techniques without opto‐ and magnet‐ artifacts. Herein, a ≈20 nm thick MXene film that is able to simultaneously detect electrophysiological signals and perform imaging by MRI and fNIRS with high fidelity is reported. The ultrathin film is made of crosslinked Ti3C2Tx film via poly (3,4‐ethylene dioxythiophene): polystyrene sulfonate (PEDOT: PSS), showing a record high electroconductivity and transparency combination (11 000 S cm−1@89%). Among them, PEDOT: PSS not only plays a cross‐linking role to stabilize MXene film but also shortens the interlayer distance for effective charge transfer and high transparency. Thus, it can achieve a low interfacial impedance with skin or neural surfaces for accurate recording of electrophysiological signals with low motion artifacts. Besides, the high transparency originating from the ultrathin feature leads to good compatibility with fNIRS and MRI without optical and magnetic artifacts, enabling multimodal cognitive neural monitoring during prolonged use.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Advanced Memory and Neural Computing · Neuroscience and Neural Engineering

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Beijing Key Laboratory of Energy Conversion and Storage Materials College of Chemistry Beijing Normal University 100875 Beijing China

College of Chemical Engineering Beijing University of Chemical Technology 100029 Beijing China

Department of Physics Yonsei University 03722 Seoul South Korea

Center for Nanomedicine Institute for Basic Science (IBS) Seoul 03722 South Korea

State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research Beijing Normal University 100875 Beijing China

Department of Chemical Engineering Stanford University Stanford CA 94305 USA

Max Planck Partner Group School of International Chinese Language Education Beijing Normal University 100875 Beijing China

Beijing Graphene Institute 100095 Beijing China

Funding

National Natural Science Foundation of China · Fundamental Research Funds for the Central Universities · National Research Foundation of Korea · Institute for Basic Science

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